远程工作雷达

欺诈情报经理

Manager, Fraud Intelligence

其他全球可投
公司Extend
薪资未公开
工作地点Remote, U.S.
地域资格全球可投
时区要求无特别要求
用工类型未标注
发布时间2026-08-11
数据来源Greenhouse
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全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

关于 Extend:

Extend 正通过提供由人工智能驱动的解决方案,重新定义零售商及其客户的售后体验,从而提升客户满意度并推动收入增长。我们的全面平台提供自动化客户服务处理、无缝的退换货管理、端到端的自动化履约服务,以及产品保护和运输保护,同时结合 Extend 一流的欺诈检测功能。通过将前沿技术与卓越的客户服务相结合,Extend 帮助企业建立消费者的信任和忠诚度,同时降低成本并提高利润。

如今,Extend 与跨行业的 1000 多家领先商户合作伙伴合作,包括时尚/服装、化妆品、家具、珠宝、消费电子、汽车零部件、体育健身等。Extend 得到业内一些最著名的科技投资者的支持,我们的总部位于旧金山市中心。

关于该职位:

欺诈情报团队是 Extend 售后保护平台背后的核心力量。我们基于数亿用户的信号和交易数据,构建并优化尖端分析引擎,以检测和防止欺诈,做出更明智的决策,并释放业务价值。

我们喜欢在混乱的数据中发现模式,以捕捉不良行为者并及时阻止欺诈。你将有机会塑造新的欺诈预防产品功能和分析能力。你将跨职能协作,根据你的分析添加防止欺诈的功能并优化节省成本。

如果你对数据充满热情,注重影响力,并且热衷于在分析和欺诈预防的交叉领域解决复杂问题,那么你将在我们的团队中茁壮成长。这是一个高自主权的职位,你的工作将直接保护零售商,增强客户信任,并推动公司的业绩。

你将负责:

  • 领导团队分析大规模的行为、交易和交互数据,以发现欺诈和滥用的信号
  • 与跨职能团队合作,快速响应新兴的欺诈威胁,开发监控框架、仪表板和缓解方案
  • 负责欺诈运营中 AI 代理的性能跟踪和优化,推动持续的准确性和效率提升
  • 与机器学习团队合作,将欺诈模式的发现转化为模型特征建议,为模型评分提供反馈
查看英文原文

About Extend:

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.

About the Role:

The Fraud Intelligence team is the magic behind Extend’s post-purchase protection platform. We build and refine cutting-edge analytics engines based on signals and transactions from hundreds of millions of users to detect and prevent fraud, drive smarter decisions, and unlock business value.

We love uncovering patterns in messy data to catch bad actors and stop fraud in its tracks. You’ll have the opportunity to shape new fraud prevention product features and analytics capabilities. You’ll work cross-functionally to add features to prevent fraud and optimize savings based on your analysis.

If you’re data-obsessed, impact-driven, and excited to tackle complex problems at the intersection of analytics and fraud prevention, you’ll thrive on our team. This is a high-ownership role where your work will directly protect retailers, enhance customer trust, and drive the company’s bottom line.

What You’ll Be Doing:

  • Lead a team to analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse
  • Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams
  • Own AI agent performance tracking and optimization for Fraud Ops, driving continuous accuracy and efficiency gains
  • Partner with the Machine Learning team to translate fraud pattern findings into model feature recommendations, providing feedback on model scoring based on investigation outcomes
  • Own metric development and regular reporting to track operational efficiency and fraud savings
  • Hire, mentor and coach junior data analysts
  • Perform design and code reviews to raise the technical excellence bar
  • Partner closely with leadership, fraud operations, product, and engineering teams to define and execute effective fraud strategies
  • Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams

What We’re Looking For:

  • Hands-on, proactive, and analytical professional who is passionate about using data to solve complex, real-world problems
  • 6+ years of experience in fraud analytics, ideally within an e-commerce or retail environment
  • 2+ years of experience mentoring and managing analytics teams
  • Prior experience in a startup or high-growth environment is preferred
  • Expertise in core analytics concepts, including statistical analysis, data wrangling, and data storytelling
  • Proficiency in SQL, experience with Python
  • Strong people leadership skills; ability to develop top analytics talent and leaders
  • Exceptional communication and stakeholder management skills, with a proven ability to work cross-functionally and influence outcomes
  • High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns
  • Empathetic, humble, and collaborative team player
  • Candidates must be located within the continental United States

Expected Pay Range: $157,250 - $182,750 per year salaried*

* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.

Extend does not provide immigration-related sponsorship for this role.
Life at Extend:

  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.

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本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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ExtendRemote, U.S.2026-07-29
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